The Novel Mobility Models Based on Spiral Line for Aerial Backbone Networks

Abstract

With the convenience and flexibility, the UAV has received more attention in the search and rescue. Due to inherent mobility of UAV, the aerial backbone network maybe suffers some problems of dynamics of connectivity, such as uncertain delay jitter or occasional connection interruption. However, the existing mobility model could not accurately capture aerial mobility without the smooth trajectory and the capacity of rapid coverage. In this paper, we propose a novel mobility model based on spiral line (SLMM) for aerial backbone network. Firstly, we describe the background and related work. Then, we propose the basic concept and advantages of SLMM. In addition, we investigate the mathematical feature of SLMM. Besides, we propose some novel mobility metrics and analyze quantitatively the mobility feature of SLMM through simulation. Finally, we evaluate the network performance under the SLMM. The result show that the SLMM has the smooth trajectory and the uniform distribution of spatial nodes at steady state. In addition, covering the zone of area of 16pi the aerial node merely take almost 27s under the SLMM. Meanwhile, the convergence time could be adjusted by changing the internal parameters. Moreover, the aerial backbone network could approach the throughput of 0.43Mb/s, the end-to-end delay of 4.42ms and the packet loss rate of nearly 0.00% • under the SLMM, and the best choice of routing strategy is the AODV protocol. We believe that the SLMM as a significant supplement of mobility model can provide the helpful guideline in the design and analysis of aerial backbone network. INDEX TERMS Aerial backbone network, mobility model, rapid coverage, smooth trajectory.

The Authentic 3D Mobility Model Based on Spiral Line for Aerial Backbone Network

“…In [29], we find that the FPF evaluate 2D distribution of spatial nodes with higher precision, compared with PDF. Here, we introduce FTV into FDF to investigate 3D distribution of spatial nodes of 3D SLMM.…”

“…mathematical results, key mobility features and network performance). For the sake of space, more details can be found in [29].…”

“…In the [29], we have extracted some important mobility parameters from the real traces collected in actual scene (e.g. angular speed, moving and pausing time interval) (See Figure 13).…”

“…environment or radio interference), such that the performance of ABN will be largely decreased [9]. Hence, reliable ABN is required for SAR [8] [29].…”

“…Besides, the aerial node in the SRCM could search entire disaster area to rescue victim [8]. In previous work, we proposed SLMM for SAR in which the aerial node can rapidly cover whole target region with smooth trajectory [29].…”